Noa Braverman - PowerPoint PPT Presentation

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Noa Braverman

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EEG as brain-state mirror. instantaneous heart rate. ictal (sinus)tachycardia. Introduction cont. the brain-heart axis. Vagus Nerve. The existence of ... – PowerPoint PPT presentation

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Title: Noa Braverman


1
Forecasting epilepsy from theheart rate signal
  • Noa Braverman

2
Introduction
  • potential seizure detector
  • EEG as brain-state mirror
  • instantaneous heart rate
  • ictal (sinus)tachycardia

3
Introduction cont.
  • the brain-heart axis
  • Vagus Nerve
  • The existence of
  • pre- ictal phase

4
Introduction cont.
  • This study
  • Forecasting seizures
  • Partial complex humans
  • Generalized - rats
  • Novel method for HRV analysis
  • Ph.D. D.H.Kerem
  • Ph.D. A.B.Geva

5
Known Methods
  • Spectral analysis of the time series of R-R
    intervals
  • non-linear dynamics
  • shortcoming -
  • inability to account for non-stationary states
    and transients

6
Known Methods cont.
  • time-varying power spectral density estimation
  • Attractors and correlation dimensions
  • Karhunen-Love transform-based signal analysis
    method

7
Fuzzy clustering approach
  • comet or torpedo-shaped
  • unsupervised method advantage

8
Chosen method
  • EEG-contained information of HRV.
  • (GEVA and KEREM, 1998)
  • an unsupervised method designed to deal with
    merging and overlapping states
  • ability to spot and classify

9
Data resources
  • Humans
  • Rats
  • Humans
  • 21 patients records, archived records
  • The recording machinery
  • simultaneous EEG and video recording
  • ECG channel
  • visual inspection by an EEG expert
  • The actual database
  • Rats
  • Hyperbaric-oxygen
  • ECG and EEG filtering and recording
  • Rats effects
  • Time period analyzing
  • Control rats Vs. research rats
  • OUTPUT

10
Method cont.
  • Choice of analysis parameters
  • ?RRI Vs. RRI
  • embedding dimension N
  • For this experiment
  • Both features
  • N 3
  • number of clusters

11
Method cont.
  • Forecasting criteria
  • Appearance
  • Disappearance
  • Dominant
  • False negative - False positive

12
Results
  • Humans
  • Rats
  • Successful forecasting
  • Tachycardia period
  • success rate
  • 86
  • ?RRI Vs. RRI
  • forecasting times
  • 1.5-11 min.
  • Successful forecasting
  • Bradycardia period
  • success rate
  • 82
  • ?RRI Vs. RRI
  • forecasting times
  • 2.5-9 min.

13
Results cont.
  • Humans
  • Rats
  • prediction failures
  • false negative
  • One case
  • false positive
  • Two cases
  • Longer records
  • prediction failures
  • false negative
  • none
  • false positive
  • Two cases
  • Ignoring changes shown in control rats

14
Discussion
  • information in the pre-ictal ECG signal
  • HRV Time-Frequency analysis by NOVAK
  • pre-ictal state
  • time-frequency forecasters
  • Records length

15
Discussion cont.
  • the sleeping state
  • Alerting systems
  • generalized seizures forecasting

16
Individual opinion
  • Next step
  • Testing State-rely data
  • Non-arbitrary patient selection
  • Age specific

17
Any Questions?
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